Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
권호 표지
DOI QR코드

DOI QR Code

Performance Analysis of DVC Scheme with Adaptive Gray Code for Frame Difference Signal

화면 간 차이신호에 대한 적응적 그레이코드를 이용한 분산 비디오 부호화 기법의 성능 분석

  • Kim, Jin-Soo (Department of Information and Communication Engineering, Hanbat National University) ;
  • Kim, Jae-Gon (School of Electronics, Telecommunication & Computer Engineering, Korea Aerospace University) ;
  • Choi, Hae-Chul (Department of Information and Communication Engineering, Hanbat National University)
  • 김진수 (한밭대학교 정보통신공학과) ;
  • 김재곤 (한국항공대학교 항공전자 및 정보통신공학부) ;
  • 최해철 (한밭대학교 정보통신공학과)
  • Received : 2012.07.31
  • Accepted : 2012.09.05
  • Published : 2012.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we investigated the performances of the distributed video codec with adaptive Gray code to apply for frame-difference signal. That is, the best cases and the worst cases were analyzed and compared by considering the statistical characteristics of the frame difference signal in view of the Gray code allocation. Through computer simulations, if 9-bit data for frame difference signal is generated for luminance signal with 8-bit definition and so n-bit is allocated to the quantized coefficient, we were able to find the best method to reduce the virtual channel noise by adding $256+2^{9-n-1}$ to the frame difference signal. Through computer simulation with test video sequences, it was shown that the performance difference between the best cases and the worst cases is larger than about 1.5dB at same rate. It is expected that the results in this paper are applicable for the transform-domain scheme as well as the pixel-domain scheme.

본 논문에서는 화면 간 차이 신호에 적용하기 위한 적응적인 그레이코드 할당을 갖는 분산 비디오 코덱의 성능 분석을 수행하였다. 즉, 화면 간 차이 신호가 갖는 통계특성에 기초하여 양자화된 값에 대해 최고의 성능을 갖는 그레이코드 할당 방법과 최저의 성능을 갖는 그레이코드 할당 방법에 대해 성능을 비교 분석하였다. 모의실험을 통해 8비트 밝기 해상도를 갖는 영상에서 화면 간 차이 신호는 9비트의 데이터를 발생시키고, 양자화해서 전송되는 비트가 n비트이면, 화면 간 차이 신호에 $256+2^{9-n-1}$를 더함으로써 가상채널잡음의 효과를 최소화할 수 있음을 확인하였다. 영상시퀀스를 이용한 모의실험에서 최고의 성능과 최저의 성능을 갖는 방식간에 동일 비트율에서 약 1.5dB이상의 화질 차이가 발생함을 확인하였다. 본 논문에서 분석된 결과는 화소영역 또는 변환영역의 위너-지브 부호화기법으로 확장하여 적용될 수 있을 것으로 기대된다.

Keywords

References

  1. T. Wiegand, G. Sullivan, G. Bjontegaard and A. Luthra, "Overview of the H.264/AVC Video Coding Standard", IEEE Transactions on Circuits and Systems for Video Technology 13, pp. 560 - 576, July 2003. https://doi.org/10.1109/TCSVT.2003.815165
  2. D. Slepian and J. Wolf, "Noiseless Coding of Correlated Information Sources," IEEE Trans. Information Theory, vol IT-19, no. 4, pp. 471-480, July 1973. https://doi.org/10.1109/TIT.1973.1055037
  3. A. Wyner and J. Ziv, "The Rate-distortion Function for Source Coding with Side Information at the Decoder," IEEE Trans. Information Theory, vol 22, pp. 1-10, Jan. 1976. https://doi.org/10.1109/TIT.1976.1055508
  4. B. Girod, A. Aaron, S. Rane and D. Rebollo-Monedero, "Distributed Video Coding," Proceedings of the IEEE, vol. 93, no. 1, pp. 71-83, Jan. 2005. https://doi.org/10.1109/JPROC.2004.839619
  5. R. Puri and K. Ramchandran, "PRISM: A "Reversed" Multimedia Coding Paradigm," in Proc. IEEE Int. Conf. on Image Processing, Barcelona, Spain, Sept. 2003.
  6. http://www.discoverdvc.org/cont_Codec.html
  7. D. Varodayan, A. Aaron and B. Girod, "Rate-Adaptive Codes for Distributed Source Coding," EURASIP Signal Processing Journal, Special Section on Distributed Source Coding, Vol. 86, No. 11, pp. 3123-3130, Nov. 2006.
  8. J. Micallef, J. R. Farrugia, C. Debono, "Low-density Parity-check Codes for Asymmetric Distributed Source Coding," Conf. on ICITIS 2010, 985-988, Beijing, China(2010).
  9. Chunho Park, Hiuk Jae Shim, and Byeungwoo Jeon, "Wyner-Ziv Video Compression using Noise Model Selection," IEEK-SP, No. 46, Vol. 4, July 2009, pp.445-453
  10. A. Aaron, D. Varodayan and B. Girod, "Wyner-Ziv Residual Coding of Video," in Proc. PCS-2006, Beijing, China, April 2006.
  11. Jin-soo Kim, Jae-Gon Kim and Kwang-deok Seo, "A Selective Block Encoding Scheme Based on Motion Information Feedback in Distributed Video Coding," IEICE Transactions on Communications, Vol. E94-B, No.3, pp.860-862, March 2011. https://doi.org/10.1587/transcom.E94.B.860
  12. Jin-soo Kim, Jae-Gon Kim and Kwang-deok Seo, "A PDWZ Encoder Using Code Conversion and Bit Interleaver " JBE, No. 15, Vol. 1, Feb. 2010, pp.52-62 https://doi.org/10.5909/JBE.2010.15.1.052
  13. G. Hua and C. W. Chen, "Distributed Video Coding with Zero Motion Skip and Efficient DCT Coefficient Encoding," in Proc. ICME-2008, June 23 2008.
  14. N. Anantrasirichai, D. Agrafiotis, and D. Bull, "Enhanced Spatially Interleaved DVC Using Diversity and Selective Feedback,"in Proc. ICASSP 2009, April 2009.
  15. Y. Tonomura, T. Nakachi, and T. Fujii, "Efficient Index Assignment by Improved Bit Probability Estimation for Parallel Processing of Distributed Video Coding," in Proc. ICASSP 2008, April 2008.